Triple

T4740126
Position Surface form Disambiguated ID Type / Status
Subject Richardson Highway E105217 entity
Predicate climateChallenges P14203 FINISHED
Object heavy snowfall LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: heavy snowfall | Statement: [Richardson Highway, climateChallenges, heavy snowfall]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: climateChallenges
Context triple: [Richardson Highway, climateChallenges, heavy snowfall]
  • A. climaticChallenge chosen
    Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
  • B. climateConsiderations
    Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
  • C. climateChangeEffect
    Indicates how climate change influences or alters a particular entity, condition, or process.
  • D. climateChangeIndicator
    Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
  • E. climateProtection
    Indicates actions, policies, or measures aimed at preventing, reducing, or mitigating harmful impacts on the climate and stabilizing the Earth’s climate system.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6486f8608190908e43b777810c44 completed March 20, 2026, 3:15 p.m.
PD Predicate disambiguation batch_69bd6221c3b881908604f35f8de6f16b completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:19 p.m.